Operations | Monitoring | ITSM | DevOps | Cloud

How to benchmark Elasticsearch performance with ingest pipelines and your own logs

When setting up an Elasticsearch cluster, one of the most common use cases is to ingest and search through logs. This blog post focuses on getting a benchmark that will tell you how well your cluster will handle your workload. It allows you to create a reproducible environment for testing things out. Do you want to change the mapping of something, drop some fields, alter the ingest pipeline?

Agentic AI in financial services: The rise of autonomous intelligence

Agentic AI is coming to financial services. Elastic provides the data foundation and tools to make it work. In a recent talk at Stanford University, Jamie Dimon, chairman and CEO of JPMorganChase, addressed the firm’s use of AI and ended with mentioning that agentic AI was the next frontier of AI at the firm, inferring it wasn’t ready to be deployed yet. Let’s break down why that may be the case and what the financial services industry can do to become more comfortable with agentic AI.

Elastic Cloud Serverless now generally available on Google Cloud

Elastic Cloud Serverless provides the fastest way to start and scale security, observability, and search solutions — without managing infrastructure. Today, we are excited to announce the general availability of Elastic Cloud Serverless on Google Cloud — now available in the Iowa (us-central1) region. Elastic Cloud Serverless provides the fastest way to start and scale observability, security, and search solutions without managing infrastructure.

How a global bank turned a search engine into its data backbone

BBVA transformed customer experience and operational insight by using Elastic to unify 45B+ data points across 50+ banking services, with sub-second response times. When BBVA's David Jiménez Ausin looks back at 2014, he sees a very different banking landscape. “Almost everything was still via web channel, as the app wasn't as developed as it is now, and each service had its information in its own systems,” he recalls.

Elastic Observability 9.0/8.18: Elastic Distributions of OpenTelemetry (EDOT) now GA, LLM observability, and more

Elastic Observability 9.0/8.18 announces several key capabilities: Elastic Observability 8.18 and 9.0 is available now on Elastic Cloud — the only Elasticsearch offering to include all of the new features in this latest release. You can also download the Elastic Stack and our cloud orchestration products — Elastic Cloud Enterprise and Elastic Cloud for Kubernetes — for a self-managed experience. What else is new in Elastic 9.0/8.18? Check out the 9.0/8.18 announcement post to learn more.

Elasticsearch 9.0 & 8.18: Cooked for developers, with another helping of blazing-fast BBQ - 5x faster than OpenSearch

We are proud to be releasing version Elasticsearch 9.0 and 8.18 to Elastic Cloud and self-managed users. The capabilities in these releases have already been available to our Elastic Cloud Serverless users, who have had access to generally available fully managed Elasticsearch on AWS, Azure, and GCP.

The hidden costs of tool sprawl: An SRE's guide to observability consolidation

An overview of the benefits, challenges, and philosophy behind consolidating your observability tools Picture this: It's 3:00 a.m., and your phone is buzzing with alerts from what seems like a dozen different monitoring tools. As you blearily scroll through the notifications, you can't help but wonder, "How did we end up with so many tools, and why can't they just talk to each other?".